This paper examines whether the negative interest rate policy adopted by the Bank of Japan in 2016 affected bank lending by using regression discontinuity design (RDD) using bank level data. The Bank of Japan announced the Amendment to “Condition of Complementary Deposit Facility as a Temporary Measure to Facilitate Supplying of Fund” at the Monetary Policy Meeting on 29th January 2016, and implemented a negative interest rate policy on February 16, 2016. The introduction of the negative interest rate policy of the Bank of Japan was not expected at all until the Monetary Policy Meeting in January 2016. In fact, Haruhiko Kuroda, the President of the Bank of Japan denied the adoption of the negative interest rate policy until just before that, and many market participants believed it. Therefore, the introduction of the negative interest rate policy of the Bank of Japan can be treated as a natural experiment in verifying its effect. Moreover, since negative interest rates are not imposed on all banks but only on banks that satisfy certain conditions, it is possible to verify policy effects by comparing them.
We find from the empirical results that the negative interest rate policy reduced bank lending by 1.5% to 3.5%. This result was not changed by parametric estimation or nonparametric estimation. In addition, even if the estimation model was made linear or quadratic function, the result was not affected. On the other hand, similar estimates were made on the rates of change in deposits, securities and call loans, but no clear conclusion was obtained.